Crop disease diagnosis is crucial for effective treatment and a pressing concern in agriculture. Identifying precise disease grades is vital, as treatments vary. We’ve developed an Image Processing and deep learning system, MDFC–ResNet, which detects and diagnoses crop diseases accurately across species, coarse-grained, and fine-grained levels. This innovative system outperforms other deep learning models in real-world agricultural applications.The HDFC–ResNet neural network has better recognition effect and is more instructive in actual agricultural production activities than other popular deep learning models.

• Crop Disease Diagnosis
• Image Processing in Agriculture
• MDFC–ResNet for Crop Disease Detection